CN109657998B - Resource allocation method, device, equipment and storage medium - Google Patents
Resource allocation method, device, equipment and storage medium Download PDFInfo
- Publication number
- CN109657998B CN109657998B CN201811593882.1A CN201811593882A CN109657998B CN 109657998 B CN109657998 B CN 109657998B CN 201811593882 A CN201811593882 A CN 201811593882A CN 109657998 B CN109657998 B CN 109657998B
- Authority
- CN
- China
- Prior art keywords
- information
- resource
- total
- determining
- client
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06311—Scheduling, planning or task assignment for a person or group
Abstract
The application provides a resource allocation method, a device, equipment and a storage medium, which relate to the technical field of resource allocation, and the method comprises the following steps: responding to a resource allocation request sent by a client, and acquiring a plurality of resource occupation information corresponding to corresponding client information; determining a total resource accumulation parameter corresponding to the client information and a total resource consumption parameter corresponding to the client information according to the plurality of resource occupation information; determining resource allocation information corresponding to the client information according to the total resource accumulation parameter corresponding to the client information and the total resource consumption parameter corresponding to the client information; and performing resource allocation according to the resource allocation information corresponding to the client information. According to the resource allocation method, the server responds to the resource allocation request of the client to determine the resource allocation information of the client information and allocate the resources, compared with a method for manually evaluating the resource allocation information and allocating the resources, the method has the advantages that the labor input cost is reduced, the resource allocation period is shortened, and the resource allocation efficiency is improved.
Description
Technical Field
The present application relates to the field of resource allocation technologies, and in particular, to a resource allocation method, apparatus, device, and storage medium.
Background
Customers refer to groups that satisfy their own needs by purchasing a product or service of a business. For enterprises, customers are important strategic resources for the survival and development of the enterprises, and are necessary guarantees for maintaining the survival and operation activities of the enterprises.
Currently, enterprises arrange staff in advance to collect relevant information of clients, the staff evaluates resource allocation information of the clients according to the size of the clients and consumption conditions of the clients, and then the staff determines a resource allocation scheme for each client according to the evaluated resource allocation information corresponding to the client. However, the method of manually evaluating resource allocation information and allocating resources is costly, long in cycle, and inefficient.
Disclosure of Invention
In view of this, an object of the embodiments of the present application is to provide a resource allocation method, device and storage medium, where a server can automatically determine resource allocation information and perform resource allocation, so as to reduce investment cost, shorten a resource allocation period, and improve resource allocation efficiency.
In a first aspect, an embodiment of the present application provides a resource allocation method, where the method includes:
responding to a resource allocation request sent by a client, and acquiring a plurality of resource occupation information corresponding to corresponding client information;
determining a total resource accumulation parameter corresponding to the customer information and a total resource consumption parameter corresponding to the customer information according to the plurality of resource occupation information;
determining resource allocation information corresponding to the customer information according to the total resource accumulation parameter corresponding to the customer information and the total resource consumption parameter corresponding to the customer information;
and performing resource allocation according to the resource allocation information corresponding to the client information.
With reference to the first aspect, an embodiment of the present application provides a first possible implementation manner of the first aspect, where determining a total resource accumulation parameter corresponding to the customer information includes:
determining a total resource accumulation parameter corresponding to the customer information according to the determined total adjustment coefficient and the weight value and the access frequency respectively corresponding to the plurality of resource occupation information;
determining a total resource consumption parameter corresponding to the customer information, including:
and determining a total resource consumption parameter corresponding to the client information according to a preset resource consumption parameter and the sum of the access times corresponding to the resource occupation information.
With reference to the first possible implementation manner of the first aspect, an embodiment of the present application provides a second possible implementation manner of the first aspect, where determining a total resource accumulation parameter corresponding to the customer information includes:
determining the product of a weight value corresponding to each resource occupation information and the access times as a first product corresponding to the resource occupation information aiming at each resource occupation information;
determining the sum of the first products corresponding to the resource occupation information;
and determining the product of the sum value and the determined total adjusting coefficient as a total resource accumulation parameter corresponding to the customer information.
With reference to the first possible implementation manner of the first aspect, an embodiment of the present application provides a third possible implementation manner of the first aspect, where the access times include historical access times and predicted access times, and then determining a total resource consumption parameter corresponding to the customer information includes:
determining the sum of historical access times corresponding to each resource occupation information as a first access time; and the number of the first and second groups,
determining the sum of the predicted access times corresponding to each resource occupation information as a second access time;
and determining the product of the access frequency with the minimum value and the preset resource consumption parameter in the first access frequency and the second access frequency as a total resource consumption parameter corresponding to the client information.
With reference to the third possible implementation manner of the first aspect, an embodiment of the present application provides a fourth possible implementation manner of the first aspect, where determining the predicted number of accesses according to the following manner includes:
aiming at any resource occupation information, fitting the historical access times of the resource occupation information at each historical time point in a preset historical time period to obtain a fitting function corresponding to the resource occupation information;
and determining the predicted access times corresponding to the resource occupation information at any time point after the current time according to the fitting function corresponding to the resource occupation information.
With reference to any one of the first possible implementation manner of the first aspect to the fourth possible implementation manner of the first aspect, an embodiment of the present application provides a fifth possible implementation manner of the first aspect, where the total adjustment coefficient is determined in the following manner:
determining a product of a weight value corresponding to the resource occupation information and a preset adjustment coefficient corresponding to the resource occupation information as a second product corresponding to the resource occupation information for each piece of resource occupation information;
calculating the ratio of the sum of the second products corresponding to the resource occupation information to the total number of the resource occupation information;
determining the ratio as the total adjustment factor.
In a second aspect, an embodiment of the present application further provides a resource allocation apparatus, where the apparatus includes:
the acquisition module is used for responding to a resource allocation request sent by a client and acquiring a plurality of resource occupation information corresponding to corresponding client information;
a determining module, configured to determine, according to the multiple pieces of resource occupation information, a total resource accumulation parameter corresponding to the client information and a total resource consumption parameter corresponding to the client information; determining resource allocation information corresponding to the customer information according to the total resource accumulation parameter corresponding to the customer information and the total resource consumption parameter corresponding to the customer information;
and the resource allocation module is used for allocating resources according to the resource allocation information corresponding to the client information.
With reference to the second aspect, an embodiment of the present application provides a first possible implementation manner of the second aspect, where the determining module is specifically configured to:
determining a total resource accumulation parameter corresponding to the customer information according to the determined total adjustment coefficient and the weight value and the access frequency respectively corresponding to the plurality of resource occupation information;
and determining a total resource consumption parameter corresponding to the client information according to a preset resource consumption parameter and the sum of the access times corresponding to the resource occupation information.
In a third aspect, an embodiment of the present application further provides a computer device, including: a processor, a memory and a bus, wherein the memory stores execution instructions, and when the computer device runs, the processor and the memory communicate through the bus, and the processor executes the execution instructions to enable the computer device to implement the resource allocation method of any one of the first aspect.
In a fourth aspect, an embodiment of the present application further provides a computer storage medium storing computer-executable instructions, which when executed by a processor, implement the resource allocation method according to any one of the first aspect.
According to the resource allocation method, the resource allocation device, the resource allocation equipment and the storage medium, a user can send a resource allocation request to a server through a client; the server automatically responds to the resource allocation request, automatically determines resource allocation information corresponding to the client information based on a plurality of resource occupation information corresponding to the client information in the resource allocation request, and performs resource allocation. In the embodiment of the application, the server responds to the resource allocation request of the client to determine the resource allocation information of the client information and perform resource allocation, and compared with a method for manually evaluating the resource allocation information and performing resource allocation, the method reduces the labor input cost, shortens the resource allocation period and improves the resource allocation efficiency.
In order to make the aforementioned objects, features and advantages of the present application more comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained from the drawings without inventive effort.
Fig. 1 shows a flowchart of a resource allocation method provided in an embodiment of the present application.
Fig. 2 shows a flowchart of another resource allocation method provided in an embodiment of the present application.
Fig. 3 is a flowchart illustrating a further resource allocation method provided in an embodiment of the present application.
Fig. 4 shows a flowchart of another resource allocation method provided in an embodiment of the present application.
FIG. 5 illustrates a matrix diagram of customer value provided by an embodiment of the present application.
Fig. 6 shows a schematic structural diagram of a resource allocation apparatus according to an embodiment of the present application.
Fig. 7 shows a schematic structural diagram of a computer device provided in an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all the embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present application without making any creative effort, shall fall within the protection scope of the present application.
In view of the problems of high cost, long cycle and low efficiency of the current resource allocation method for clients, embodiments of the present application provide a resource allocation method, apparatus, device and storage medium, which are described below by way of embodiments.
As shown in fig. 1, a resource allocation method provided in this embodiment of the present application may be applied to a server, and the method may include the following steps:
s101, responding to a resource allocation request sent by a client, and acquiring a plurality of resource occupation information corresponding to corresponding client information.
In this embodiment of the application, the client may refer to a terminal device, and may also refer to an application program embedded in the terminal device, which is not limited herein.
In one embodiment, a user selects client information needing resource allocation on a client, and after the user selects the client information, the client generates a resource allocation request according to the client information selected by the user and sends the resource allocation request to a server. Client information and a plurality of resource occupation information corresponding to the client information are stored in a database of the server in advance. After receiving a resource allocation request from a client, a server responds to the resource allocation request, extracts client information in the resource allocation request, and acquires a plurality of resource occupation information corresponding to the client information from a database.
In another embodiment, the client stores the client information and the resource occupation information corresponding to each client information in advance. The method comprises the steps that a user selects client information needing resource allocation on a client, the client acquires resource occupation information corresponding to the client information according to the client information selected by the user after the user finishes the selection, and then the client generates a resource allocation request according to the client information selected by the user and the acquired resource occupation information corresponding to the client information and sends the resource allocation request to a server. After receiving a resource allocation request from a client, a server responds to the resource allocation request and extracts client information and a plurality of resource occupation information corresponding to the client information from the resource allocation request.
In specific implementation, the user information and a plurality of resource occupation information corresponding to the user information can be displayed in the unified client information view. The resource occupation information may be basic information including user information, accounting information, and the like, may be service information including contact information, order information, and the like, and may also be extended information including customer evaluation information, behavior information, marketing information, and the like. The client information comprises client basic data, client relation data and the like, the user information comprises user basic data, ordering data, resource occupation data and the like, and the account information comprises account basic data, payment information, account relation information and the like.
Here, for the telecom operator, the customer information is a customer representation uniquely representing a customer, such as an identification number; correspondingly, the user information in the basic information can be a mobile phone number, a broadband account number and the like; the accounting information in the basic information may be a bank card number, a third party payment account (such as a WeChat account, a Paibao account), and the like; correspondingly, the contact information in the service information can be contact information for contacting customer service of a telecommunication operator, contact information for accessing a terminal business hall of the telecommunication operator, contact information for accessing a WeChat public number of the telecommunication operator and the like; the order information in the service information can be mobile phone package information, broadband package information and the like; correspondingly, the customer evaluation information in the extension information refers to evaluation information of a telecommunications carrier on a customer, and specifically may be: customer grade evaluation information, customer consumption habit evaluation information, customer reputation evaluation information and the like; the behavior information in the extension information may be: complaint behavior information, improvement opinion behavior information, and the like; the marketing information in the extended information may be: preferential marketing information, point marketing information, and the like.
S102, determining a total resource accumulation parameter corresponding to the customer information and a total resource consumption parameter corresponding to the customer information according to the plurality of resource occupation information.
In the embodiment of the application, after the server acquires the plurality of resource occupation information corresponding to the client information, the server determines the total resource accumulation parameter and the total resource consumption parameter corresponding to the client information according to the acquired plurality of resource occupation information. The total resource accumulation parameter may represent a total revenue corresponding to the customer information, and the total resource consumption parameter may represent a total cost corresponding to the customer information.
S103, determining resource allocation information corresponding to the customer information according to the total resource accumulation parameter corresponding to the customer information and the total resource consumption parameter corresponding to the customer information.
In the embodiment of the application, the server calculates the difference between the total resource accumulation parameter and the total resource consumption parameter corresponding to the client information, the difference is used as the client value of the client information, and the server further determines the resource allocation information corresponding to the client information according to the obtained client value.
In a specific embodiment, a database of the server stores in advance a correspondence between the client value and the resource allocation information for each service type. After obtaining the client value corresponding to the client information, the server searches the resource allocation information corresponding to the client value in the current service type based on the corresponding relation between the client value and the resource allocation information in each service type, and takes the searched resource allocation information as the resource allocation information corresponding to the client information. The service type pre-stored in the database of the server may be telecommunication service, banking service, etc. In the telecommunication service, the resource allocation information can be telephone return visit, recommended mobile phone package A, recommended broadband package B and the like in each month.
And S104, performing resource allocation according to the resource allocation information corresponding to the client information.
In specific application, the client information and the resource allocation information corresponding to the client information can be sent to corresponding customer service personnel, and the customer service personnel maintain the client corresponding to the corresponding client information according to the resource allocation information. For example, in the telecommunication service, the client value 80 of one client information corresponds to the resource allocation information for a call return visit every month, and the corresponding service person performs a call return visit for the client corresponding to the client information every month.
According to the embodiment of the application, the resource allocation information of the client information is determined according to the total resource accumulation parameter and the total resource consumption parameter, and corresponding resource allocation is carried out, so that the labor input cost can be effectively reduced, the resource allocation period is shortened, and the resource allocation efficiency is improved.
Further, in the resource allocation method provided in the embodiment of the present application, determining a total resource accumulation parameter corresponding to the client information includes:
and determining a total resource accumulation parameter corresponding to the customer information according to the determined total adjustment coefficient and the weight value and the access frequency respectively corresponding to the plurality of resource occupation information.
In the embodiment of the application, the database of the server stores the weight value and the access times corresponding to each resource occupation information. The weighted values corresponding to different resource occupation information may be the same or different. Here, for each piece of resource occupation information, the access times corresponding to the resource occupation information are the total times of using the resource occupation information or the total times of being called.
For each resource occupation information in the plurality of resource occupation information, the server determines a product of a weight value corresponding to the resource occupation information and the access times as a first product corresponding to the resource occupation information. Then, the server determines the sum of the first products corresponding to the resource occupation information; and finally, the server determines the product of the sum and the determined total adjusting coefficient as the total resource accumulation parameter corresponding to the client information. The first product is used for representing the benefit of the corresponding resource occupation information, the benefit is used for measuring the use frequency of the corresponding resource occupation information, and the greater the use frequency of the resource occupation information is, the greater the benefit corresponding to the resource occupation information is. The total resource accumulation parameter is used for representing the total income corresponding to the customer information, and the total income is used for measuring the use frequency of the customer information.
For example, in the telecommunication service, the determined total adjustment coefficient is 5, and the resource occupation information corresponding to the customer information is network access information, short message information and call information respectively; wherein, the weighted values corresponding to the network access information, the short message information and the call information are respectively 2, 3 and 4; the access times corresponding to the network access information, the short message quantity and the call information are respectively 10, 100 and 200; then, the total resource accumulation parameter corresponding to the client information is ((2 × 10) + (3 × 100) + (4 × 200)) × 5 is 5600. The access times corresponding to the network access information can call the times of the corresponding network access information, the access times corresponding to the short message information are the times of calling the corresponding short message, and the access times corresponding to the call information are the times of calling the corresponding call information.
Further, in the resource allocation method provided in the embodiment of the present application, determining a total resource consumption parameter corresponding to the client information includes:
and determining a total resource consumption parameter corresponding to the client information according to a preset resource consumption parameter and the sum of the access times corresponding to the resource occupation information.
In the embodiment of the application, aiming at a plurality of resource occupation information, the server calculates the sum of the access times corresponding to each resource occupation information corresponding to the client information; and calculating the product of the sum and a preset resource consumption parameter as a resource total consumption parameter corresponding to the client information. The resource total consumption parameter representation server records the total cost required by the access times corresponding to the client information.
As an alternative embodiment, as shown in fig. 2, the server determines the total adjustment factor in the following manner:
s201, aiming at each piece of resource occupation information, determining the product of a weight value corresponding to the resource occupation information and a preset adjusting coefficient corresponding to the resource occupation information as a second product corresponding to the resource occupation information.
In the embodiment of the application, each resource occupation information corresponds to a preset adjustment coefficient, and the server first calculates a product of a weight value of the resource occupation information and the corresponding preset adjustment coefficient as a second product corresponding to the resource occupation information, so as to participate in the calculation of the total adjustment coefficient based on the second product.
S202, calculating the ratio of the sum of the second products corresponding to the resource occupation information to the total number of the resource occupation information.
In the embodiment of the application, the client information corresponds to a plurality of resource occupation information, the server calculates a sum of second products corresponding to each resource occupation information corresponding to the client information after calculating a second product corresponding to each resource occupation information, and then calculates a ratio of the sum to the total number of the resource occupation information corresponding to the client information.
S203, determining the ratio as the total adjusting coefficient.
In the embodiment of the application, the server can be according to a formula
Calculating a total adjustment coefficient; wherein K represents a total adjustment coefficient, i represents any resource occupation information, and piWeight value, k, corresponding to customer informationiAnd the preset adjustment coefficient corresponding to the resource occupation information i is represented, i is a positive integer, and m represents the total number of the resource occupation information corresponding to the client information.
In the embodiment of the present application, for any piece of client information, the server may calculate the client value corresponding to the piece of client information by the following formula (2):
wherein VI represents the customer value of any customer information; k is a total adjustment coefficient, i represents any resource occupation information i, p corresponding to the customer informationiIs the weight value corresponding to the resource occupation information i; n is a radical ofiRepresenting the number of access times corresponding to the resource occupation information i, m representing the total number of the resource occupation information corresponding to the client information,
and C is a preset resource consumption parameter. Wherein M is equal to a sum of access times corresponding to each resource occupation information corresponding to the client information, and the preset consumption parameter may be used to represent an average cost corresponding to storing one resource occupation information.
The resource allocation method provided by the embodiment of the application can be applied to a telecommunication operation scene, and a customer retention strategy and resource allocation information are selected for a telecommunication operator in consideration of a life cycle value model of a telecommunication customer lost by the customer. In the embodiment of the application, the client value corresponding to the client information is determined, and the resource allocation information corresponding to the client value is determined. Here, the customer value may be a sum of the current value and the potential value. Correspondingly, as shown in fig. 3, the access times may include historical access times and predicted access times, and then determining the total resource consumption parameter corresponding to the client information includes:
s301, determining the sum of historical access times corresponding to the resource occupation information as a first access time.
In the embodiment of the application, the server calculates the sum of the historical access times of each piece of resource occupation information corresponding to the client information, and takes the sum as the first access time.
S302, determining the sum of the predicted access times corresponding to the resource occupation information as a second access time.
In the embodiment of the application, the server calculates the sum of the predicted access times of each piece of resource occupation information corresponding to the client information, and takes the sum as the second access time.
And S303, determining the product of the access frequency with the minimum value and the preset resource consumption parameter in the first access frequency and the second access frequency as a total resource consumption parameter corresponding to the client information.
In the embodiment of the application, aiming at a plurality of resource occupation information, the server selects the access times with the minimum value from the first access times and the second access times, and then calculates the product of the access times with the minimum value and the preset resource consumption parameter as the total resource consumption parameter corresponding to the client information.
In the embodiment of the present application, the server calculates the customer value including the current value and the potential value according to formula (3):
wherein VI represents a customer value of a customer information; k is a total adjustment coefficient which is a constant; i represents any resource occupation information and is a positive integer; p is a radical ofiIs a customer information pairA weighted value corresponding to the corresponding resource occupation information i; n is a radical ofiRepresenting the access times corresponding to the resource occupation information i; m is1Representing the total number of the resource occupation information corresponding to the client information in the historical time period; m is2Representing the total number of the resource occupation information corresponding to the client information in the prediction time period; c represents a preset resource consumption parameter; m' is the historical access frequency corresponding to the client information; and M' is the predicted access times corresponding to the client information. Wherein, M' is equal to the sum of historical access times corresponding to each resource occupation information corresponding to the client information, M ″ is equal to the sum of predicted access times corresponding to each resource occupation information corresponding to the client information, and the preset consumption parameter can be used to represent an average cost corresponding to storing one resource occupation information.
Further, as shown in fig. 4, in the resource allocation method provided in the embodiment of the present application, the determining the predicted access times according to the following manner includes:
s401, aiming at any resource occupation information, fitting historical access times of the resource occupation information at each historical time point in a preset historical time period to obtain a fitting function corresponding to the resource occupation information.
In the embodiment of the application, the historical access times of each time point in a certain past time period are fitted according to each resource occupation information, and a fitting function of time and the access times is obtained. For example, the historical number of visits per day in the past year may be fitted, and is not limited herein.
S402, according to the fitting function corresponding to the resource occupation information, determining the predicted access times corresponding to the resource occupation information at any time point after the current time.
In the embodiment of the application, after the fitting function is obtained, any time point after the current time is brought into the fitting function, and the predicted access times corresponding to the resource occupation information at the time point can be obtained.
FIG. 5 is a schematic diagram illustrating the evaluation of customer information based on current value and potential value. The current value and the potential value of the first quadrant are both smaller than a preset threshold value, the total value is the lowest, enterprises should be eliminated, and the enterprise cost is only increased for the customer marketing. The current value of the customers in the second quadrant is smaller than a preset threshold value, and the potential value of the customers is larger than the preset threshold value, so that the customers have value-added potential and are target customers for the management and development of important customer relations of enterprises; the current value of the third quadrant customers is larger than the preset threshold value, the potential value as the development potential index is smaller than the preset threshold value, the customers become the loyal customers of the enterprise, and the customer keeping strategy is adopted to obtain more profits. And the current value and the potential value of the fourth quadrant are both greater than a preset threshold value, and belong to a platinum customer group of the enterprise.
As shown in fig. 6, an embodiment of the present application further provides a resource allocation apparatus, configured to execute the foregoing resource allocation method, where the apparatus includes:
an obtaining module 601, configured to obtain, in response to a resource allocation request sent by a client, a plurality of resource occupation information corresponding to corresponding client information;
a determining module 602, configured to determine, according to the multiple pieces of resource occupation information, a total resource accumulation parameter corresponding to the client information and a total resource consumption parameter corresponding to the client information; determining resource allocation information corresponding to the customer information according to the total resource accumulation parameter corresponding to the customer information and the total resource consumption parameter corresponding to the customer information;
a resource allocation module 603, configured to perform resource allocation according to the resource allocation information corresponding to the client information.
Further, as shown in fig. 6, in the resource allocation apparatus provided in the embodiment of the present application, the determining module 602 is specifically configured to:
determining a total resource accumulation parameter corresponding to the customer information according to the determined total adjustment coefficient and the weight value and the access frequency respectively corresponding to the plurality of resource occupation information;
and determining a total resource consumption parameter corresponding to the client information according to a preset resource consumption parameter and the sum of the access times corresponding to the resource occupation information.
Further, as shown in fig. 6, in the resource allocation apparatus provided in the embodiment of the present application, the determining module 602 is specifically configured to:
determining the product of a weight value corresponding to each resource occupation information and the access times as a first product corresponding to the resource occupation information aiming at each resource occupation information;
determining the sum of the first products corresponding to the resource occupation information;
and determining the product of the sum value and the determined total adjusting coefficient as a total resource accumulation parameter corresponding to the customer information.
Further, as shown in fig. 6, in the resource allocation apparatus provided in the embodiment of the present application, the access times include historical access times and predicted access times, and the determining module 602 is specifically configured to:
determining the sum of historical access times corresponding to each resource occupation information as a first access time; and the number of the first and second groups,
determining the sum of the predicted access times corresponding to each resource occupation information as a second access time;
and determining the product of the access frequency with the minimum value and the preset resource consumption parameter in the first access frequency and the second access frequency as a total resource consumption parameter corresponding to the client information.
Further, as shown in fig. 6, the resource allocation apparatus provided in the embodiment of the present application further includes:
the prediction module 604 is configured to fit, for any resource occupation information, historical access times of the resource occupation information at each historical time point in a preset historical time period to obtain a fitting function corresponding to the resource occupation information; and determining the predicted access times corresponding to the resource occupation information at any time point after the current time according to the fitting function corresponding to the resource occupation information.
Further, as shown in fig. 6, in the resource allocation apparatus provided in the embodiment of the present application, the determining module 602 is further configured to:
determining a product of a weight value corresponding to the resource occupation information and a preset adjustment coefficient corresponding to the resource occupation information as a second product corresponding to the resource occupation information for each piece of resource occupation information;
calculating the ratio of the sum of the second products corresponding to the resource occupation information to the total number of the resource occupation information;
determining the ratio as the total adjustment factor.
As shown in fig. 7, a computer device 70 provided for the embodiment of the present application includes: a processor 702, a memory 701 and a bus, the memory 701 storing an execution instruction, when the computer device 70 is running, the processor 702 and the memory 701 communicating via the bus, the processor 702 executing the execution instruction to make the computer device 70 implement the resource allocation method.
Specifically, the memory 701 and the processor 702 can be general memories and processors, which are not limited in particular, and the resource allocation method can be executed when the processor 702 runs a computer program stored in the memory 701.
Corresponding to the resource allocation method, an embodiment of the present application further provides a computer storage medium, where computer-executable instructions are stored, and when executed by a processor, the computer-executable instructions implement the resource allocation method.
The resource allocation apparatus provided in the embodiments of the present application may be specific hardware on a device, or software or firmware installed on a device, or the like. The device provided by the embodiment of the present application has the same implementation principle and technical effect as the foregoing method embodiments, and for the sake of brief description, reference may be made to the corresponding contents in the foregoing method embodiments where no part of the device embodiments is mentioned. It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the foregoing systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and there may be other divisions when actually implemented, and for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some communication interfaces, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments provided in the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus once an item is defined in one figure, it need not be further defined and explained in subsequent figures, and moreover, the terms "first", "second", "third", etc. are used merely to distinguish one description from another and are not to be construed as indicating or implying relative importance.
Finally, it should be noted that: the above-mentioned embodiments are only specific embodiments of the present application, and are used for illustrating the technical solutions of the present application, but not limiting the same, and the scope of the present application is not limited thereto, and although the present application is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope disclosed in the present application; such modifications, changes or substitutions do not depart from the spirit and scope of the present disclosure, which should be construed in light of the above teachings. Are intended to be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (6)
1. A method for resource allocation, the method comprising:
responding to a resource allocation request sent by a client, and acquiring a plurality of resource occupation information corresponding to corresponding client information from a database;
determining a total resource accumulation parameter corresponding to the customer information and a total resource consumption parameter corresponding to the customer information according to the plurality of resource occupation information;
calculating the difference value between the total resource accumulation parameter and the total resource consumption parameter according to the total resource accumulation parameter corresponding to the customer information and the total resource consumption parameter corresponding to the customer information, wherein the difference value is used as the customer value of the customer information, and resource allocation information corresponding to the customer value is acquired from the database;
performing resource allocation according to the resource allocation information corresponding to the client information;
determining a total resource accumulation parameter corresponding to the customer information, including:
determining a total resource accumulation parameter corresponding to the customer information according to the determined total adjustment coefficient and the weight value and the access frequency respectively corresponding to the plurality of resource occupation information;
determining a total resource consumption parameter corresponding to the customer information, including:
determining a total resource consumption parameter corresponding to the client information according to a preset resource consumption parameter and the sum of the access times respectively corresponding to the plurality of resource occupation information;
determining a total resource accumulation parameter corresponding to the customer information, including:
determining the product of a weight value corresponding to each resource occupation information and the access times as a first product corresponding to the resource occupation information aiming at each resource occupation information;
determining the sum of the first products corresponding to the resource occupation information;
determining the product of the sum value and the determined total adjusting coefficient as a total resource accumulation parameter corresponding to the customer information;
if the access times comprise historical access times and predicted access times, determining a resource total consumption parameter corresponding to the customer information, including:
determining the sum of historical access times corresponding to each resource occupation information as a first access time; and the number of the first and second groups,
determining the sum of the predicted access times corresponding to each resource occupation information as a second access time;
and determining the product of the access frequency with the minimum value and the preset resource consumption parameter in the first access frequency and the second access frequency as a total resource consumption parameter corresponding to the client information.
2. The method of claim 1, wherein determining the predicted number of accesses comprises:
aiming at any resource occupation information, fitting the historical access times of the resource occupation information at each historical time point in a preset historical time period to obtain a fitting function corresponding to the resource occupation information;
and determining the predicted access times corresponding to the resource occupation information at any time point after the current time according to the fitting function corresponding to the resource occupation information.
3. The method of claim 1 or 2, wherein the total adjustment factor is determined as follows:
determining a product of a weight value corresponding to the resource occupation information and a preset adjustment coefficient corresponding to the resource occupation information as a second product corresponding to the resource occupation information for each piece of resource occupation information;
calculating the ratio of the sum of the second products corresponding to the resource occupation information to the total number of the resource occupation information;
determining the ratio as the total adjustment factor.
4. An apparatus for resource allocation, the apparatus comprising:
the acquisition module is used for responding to a resource allocation request sent by a client and acquiring a plurality of resource occupation information corresponding to corresponding client information from a database;
a determining module, configured to determine, according to the multiple pieces of resource occupation information, a total resource accumulation parameter corresponding to the client information and a total resource consumption parameter corresponding to the client information; calculating the difference value between the total resource accumulation parameter and the total resource consumption parameter according to the total resource accumulation parameter corresponding to the customer information and the total resource consumption parameter corresponding to the customer information, wherein the difference value is used as the customer value of the customer information, and resource allocation information corresponding to the customer value is acquired from the database;
the resource allocation module is used for allocating resources according to the resource allocation information corresponding to the client information;
the determining module is specifically configured to:
determining a total resource accumulation parameter corresponding to the customer information according to the determined total adjustment coefficient and the weight value and the access frequency respectively corresponding to the plurality of resource occupation information;
determining a total resource consumption parameter corresponding to the client information according to a preset resource consumption parameter and the sum of the access times respectively corresponding to the plurality of resource occupation information;
the determining module, when determining the total resource accumulation parameter corresponding to the customer information, includes:
determining the product of a weight value corresponding to each resource occupation information and the access times as a first product corresponding to the resource occupation information aiming at each resource occupation information;
determining the sum of the first products corresponding to the resource occupation information;
determining the product of the sum value and the determined total adjusting coefficient as a total resource accumulation parameter corresponding to the customer information;
the access times comprise historical access times and predicted access times, and the determining module determines the total resource consumption parameters corresponding to the client information, and comprises the following steps:
determining the sum of historical access times corresponding to each resource occupation information as a first access time; and the number of the first and second groups,
determining the sum of the predicted access times corresponding to each resource occupation information as a second access time;
and determining the product of the access frequency with the minimum value and the preset resource consumption parameter in the first access frequency and the second access frequency as a total resource consumption parameter corresponding to the client information.
5. A computer device, comprising: a processor, a memory and a bus, the memory storing execution instructions, the processor and the memory communicating over the bus when the computer device is running, the processor executing the execution instructions to cause the computer device to implement the resource allocation method of any one of claims 1 to 3.
6. A computer storage medium storing computer-executable instructions that, when executed by a processor, implement the resource allocation method of any one of claims 1 to 3.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811593882.1A CN109657998B (en) | 2018-12-25 | 2018-12-25 | Resource allocation method, device, equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811593882.1A CN109657998B (en) | 2018-12-25 | 2018-12-25 | Resource allocation method, device, equipment and storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109657998A CN109657998A (en) | 2019-04-19 |
| CN109657998B true CN109657998B (en) | 2020-11-27 |
Family
ID=66116349
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811593882.1A Active CN109657998B (en) | 2018-12-25 | 2018-12-25 | Resource allocation method, device, equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109657998B (en) |
Families Citing this family (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110688615B (en) * | 2019-09-24 | 2023-07-11 | 北京达佳互联信息技术有限公司 | Method, device, equipment and storage medium for providing resource package service |
| CN111160887B (en) * | 2019-12-20 | 2021-12-07 | 北京达佳互联信息技术有限公司 | Internet resource allocation method and device |
| CN111510473B (en) * | 2020-03-13 | 2022-07-19 | 北京三快在线科技有限公司 | Access request processing method and device, electronic equipment and computer readable medium |
| CN113938392B (en) * | 2020-07-09 | 2023-11-14 | 亚信科技（南京）有限公司 | Resource allocation method, device, electronic equipment and computer readable storage medium |
| CN112016789B (en) * | 2020-07-15 | 2024-01-16 | 北京淇瑀信息科技有限公司 | Internet financial service processing method and device and electronic equipment |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101373533A (en) * | 2008-08-29 | 2009-02-25 | 中国移动通信集团福建有限公司 | Real time accurate marketing apparatus based on mobile communication signaling gateway and data processing method |
| CN102542408A (en) * | 2011-12-16 | 2012-07-04 | 深圳中兴网信科技有限公司 | Marketing management method and system on basis of telephone bill |
| CN103854065A (en) * | 2012-11-30 | 2014-06-11 | 西门子公司 | Customer loss prediction method and device |
| CN103906027A (en) * | 2014-03-28 | 2014-07-02 | 中国联合网络通信集团有限公司 | User value evaluation method and system based on mobile user internet surfing behaviors |
| CN105007171A (en) * | 2015-05-25 | 2015-10-28 | 上海欣方软件有限公司 | User data analysis system and method based on big data in communication field |
| CN106022800A (en) * | 2016-05-16 | 2016-10-12 | 北京百分点信息科技有限公司 | User feature data processing method and device |
-
2018
- 2018-12-25 CN CN201811593882.1A patent/CN109657998B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101373533A (en) * | 2008-08-29 | 2009-02-25 | 中国移动通信集团福建有限公司 | Real time accurate marketing apparatus based on mobile communication signaling gateway and data processing method |
| CN102542408A (en) * | 2011-12-16 | 2012-07-04 | 深圳中兴网信科技有限公司 | Marketing management method and system on basis of telephone bill |
| CN103854065A (en) * | 2012-11-30 | 2014-06-11 | 西门子公司 | Customer loss prediction method and device |
| CN103906027A (en) * | 2014-03-28 | 2014-07-02 | 中国联合网络通信集团有限公司 | User value evaluation method and system based on mobile user internet surfing behaviors |
| CN105007171A (en) * | 2015-05-25 | 2015-10-28 | 上海欣方软件有限公司 | User data analysis system and method based on big data in communication field |
| CN106022800A (en) * | 2016-05-16 | 2016-10-12 | 北京百分点信息科技有限公司 | User feature data processing method and device |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109657998A (en) | 2019-04-19 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109657998B (en) | Resource allocation method, device, equipment and storage medium | |
| US10909554B2 (en) | Analyzing big data to determine a data plan | |
| CN107818133B (en) | Residential area network capacity analysis method and system based on big data | |
| US20140278807A1 (en) | Cloud service optimization for cost, performance and configuration | |
| JP4804372B2 (en) | Advertisement distribution order determination method, advertisement distribution system, advertisement distribution order determination apparatus, and computer program | |
| JP2013519164A (en) | Mobile communication plan provided | |
| EP3152721A1 (en) | Segment-based floors for use in online ad auctioning techniques | |
| WO2019086522A1 (en) | A COMPUTER IMPLEMENTED METHOD, A SYSTEM AND A COMPUTER PROGRAM FOR OPTIMIZING THE OPERATION OF A CLOUD HOSTED SOFTWARE AS A SERVICE (SaaS) SYSTEM | |
| US20140129334A1 (en) | Method and system for modeling consumer activity areas based on social media and mobile data | |
| US20110231229A1 (en) | Hybrid Software Component and Service Catalog | |
| CN115689752A (en) | Method, device and equipment for adjusting wind control rule and storage medium | |
| CN111553740A (en) | Flow distribution method and device, electronic equipment and computer storage medium | |
| CN110443451B (en) | Event grading method and device, computer equipment and storage medium | |
| CN112118546B (en) | Message pushing method, message pushing device, computer equipment and medium | |
| CN111311310A (en) | Advertisement order pushing method and device, storage medium and electronic device | |
| CN110909061A (en) | Data source processing method and device, electronic equipment and storage medium | |
| CN113095939B (en) | Block chain intelligent contract recommendation method and device | |
| CN112882758B (en) | iOS device identifier generation method and system | |
| CN112073454B (en) | Resource distribution method and device and electronic equipment | |
| CN112836971A (en) | Quota resource determination method and device, electronic equipment and storage medium | |
| CN110782167B (en) | Method, device and storage medium for managing receiving and dispatching area | |
| CN113723758A (en) | Method and device for managing work tasks, storage medium and electronic equipment | |
| CN108073632B (en) | Method, device and system for information processing of terminal | |
| CN113434754A (en) | Method and device for determining recommended API (application program interface) service, electronic equipment and storage medium | |
| US11423444B2 (en) | Propensity model |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| CB02 | Change of applicant information |
Address after: 101-8, 1st floor, building 31, area 1, 188 South Fourth Ring Road West, Fengtai District, Beijing Applicant after: Guoxin Youyi Data Co., Ltd Address before: 100070, No. 188, building 31, headquarters square, South Fourth Ring Road West, Fengtai District, Beijing Applicant before: SIC YOUE DATA Co.,Ltd. |
|
| CB02 | Change of applicant information | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |